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sspse (version 1.1.0-2)

Estimating Hidden Population Size using Respondent Driven Sampling Data

Description

Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) , Handcock, Gile and Mar (2015) , Kim and Handcock (2021) , and McLaughlin, et. al. (2023) .

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Version

Install

install.packages('sspse')

Monthly Downloads

336

Version

1.1.0-2

License

GPL-3 + file LICENSE

Maintainer

Mark S Handcock

Last Published

September 6th, 2024

Functions in sspse (1.1.0-2)

impute.visibility

Estimates each person's personal visibility based on their self-reported degree and the number of their (direct) recruits. It uses the time the person was recruited as a factor in determining the number of recruits they produce.
posteriorsize

Estimating hidden population size using RDS data
summary.sspse

Summarizing Population Size Estimation Model Fits
dsizeprior

Prior distributions for the size of a hidden population
pospreddeg

Compute the posterior predictive p-values for the reported network sizes
plot.pospreddeg

Plots the posterior predictive p-values for the reported network sizes
fauxmadrona2

A Pair of Simulated RDS Data Sets with no seed dependency
posize_warning

Warning message for posteriorsize fit failure
plot.sspse

Plot Summary and Diagnostics for Population Size Estimation Model Fits
sspse-package

sspse: Estimating Hidden Population Size using Respondent Driven Sampling Data
print.summary.sspse

Summarizing Population Size Estimation Model Fits